Share Email Print

Proceedings Paper

Region tracking using level set registration
Author(s): Frederic Cao; Bertrand Collin
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We present a technique for region tracking using a novel method of registration. This method uses the representation of the image with a tree form containing the topological and geometrical information in the image. The computation of the tree is achieved by using the so called Fast Level Set Transform (FLST) and owns the fine property of contrast invariance. We explain the main reasons why the shapes present in the image correspond to some nodes in the tree. We briefly describe the basic principles of the FLST. We then expose a registration algorithm, based on a vote procedure, that consists of finding correspondences between the nodes of the trees of two different images. We also porpose an implementation of this algorithm for a real time application and end with some numerical experiments.

Paper Details

Date Published: 21 August 2001
PDF: 10 pages
Proc. SPIE 4365, Acquisition, Tracking, and Pointing XV, (21 August 2001); doi: 10.1117/12.438038
Show Author Affiliations
Frederic Cao, Direction des Centres d'Expertise et d'Essais (France)
Bertrand Collin, Direction des Centres d'Expertise et d'Essais (France)

Published in SPIE Proceedings Vol. 4365:
Acquisition, Tracking, and Pointing XV
Michael K. Masten; Larry A. Stockum, Editor(s)

© SPIE. Terms of Use
Back to Top